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Analyze medical documents privately with AI review, doctor letters, and patient memory search.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Konsilium" yet — see the docs or source repo.
Please ingest this medical record and run a consilium multi-perspective review. Summarize the main diagnostic clues, risk factors, and questions that need further confirmation.
A structured medical review summary based on the document, including key findings, possible risks, and open questions.
Using the ingested test reports and medical notes, generate a doctor letter for the referring physician summarizing the patient status, key findings, and suggested next steps.
A draft doctor letter that consolidates patient status and examination results for physician review and editing.
Search the patient memory for information related to chest pain, prior cardiovascular history, and the most recent related visit, then summarize it.
A concise summary of relevant patient history to help quickly locate prior records.
Researchers or office workers handling multiple medical records, reports, and notes can ingest the documents and trigger analysis in natural language. This helps extract key medical information more quickly.
When a doctor letter needs to be drafted from existing medical documents, the tool can consolidate patient status and findings into a first draft. This reduces repetitive manual summarization.
When prior patient information must be found quickly, users can search the patient memory in natural language. It is useful for locating symptoms, medical history, or related visits.
It is an MCP tool for medical document workflows with a privacy-first approach. It can ingest documents, run multi-perspective AI reviews, generate doctor letters, and search patient memory.
Based on the provided information, its core capabilities are document ingestion, consilium reviews, doctor-letter generation, and patient-memory search. For finer feature boundaries, see the source repository.
The provided material does not specify installation steps, runtime requirements, or API keys. See the source repository for prerequisites.
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